Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
) uses principles from systems neuroscience to develop reliable, low-power spiking neural networks and learning algorithms for implementation in a new generation of neuromorphic hardware. Both projects
-
Europe | 5 days ago
systems, signal processing and device manufacturing, development of machine learning algorithms and design of optical communication networks or power consumption and energy saving.Secondments activities
-
to the project. Degree transcripts/certificates and, if English is not your first language, a copy of your English language qualification if completed must be uploaded. Contact Details Prof. G.Tasca, giorgio.tasca
-
Industrial Doctoral Landscape Award (IDLA) in Gas Turbine Heat Management. Supervisors: Prof Peter Ireland Future aircraft engines will maximize fuel efficiency by including new, fluid flow and cooling systems
-
diseases, but is frequently misunderstood, forgotten, and missed. As a toxic proteinopathy that leads to progressive fibrosis, it offers a powerful model for studying common pathways in CKD and represents a
-
the Cardiovascular System”, the SFB1531 “Damage control by the stroma-vascular compartment” and the LOEWE Center “Lipid Space”. The Epigenetics/RNA working group, led by Prof. Ralf Brandes, is investigating how
-
/ The underlying project is under supervision of Prof. Dr. Peter Zaspel and Prof. Dr. Michael Günther. The team of Prof. Peter Zaspel is located at Bergische Universität Wuppertal. The international team focuses
-
Mandarin); and the ability to work independently as well as in collaboration with a multidisciplinary team. Proficiency in longitudinal analyses, and state-of-the-art statistical and epidemiological models
-
for Theoretical Physics at the University Tübingen, Germany, in the group of Prof. Daniel Braun. Depending on a DFG funding decision, an upgrade to 75% of an E13 TV-L position might be possible after the first year
-
, and therapy resistance mechanisms Ability to work independently and collaboratively within interdisciplinary teams Prior experience with network modeling or machine learning is a plus We offer